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Runaway Feedback Loops in Predictive Policing

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM FAccT Conference Courses Data Science Courses Reinforcement Learning Courses Feedback Loops Courses Predictive Policing Courses

Course Description

Overview

Explore the critical issue of runaway feedback loops in predictive policing through this insightful conference talk from FAT* 2018. Delve into the research conducted by a team of experts from various universities as they examine the potential consequences of using predictive algorithms in law enforcement. Learn about the assumptions, theoretical framework, and proposed solutions to address the problem of feedback in predictive policing systems. Gain a deeper understanding of how reinforcement learning principles apply to this context and the implications for fairness and accountability in algorithmic decision-making. Engage with thought-provoking questions surrounding the ethical implementation of predictive technologies in policing and their impact on communities.

Syllabus

Intro
What is Predictive Policing
Lumen Isak
Isak
Paper Outline
Goal
Assumptions
Theory
Model
Solution
Proof
Predictive Policing
Problem of Feedback
Reinforcement Learning
Question


Taught by

ACM FAccT Conference

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